Genetic Influences on Brain Aging: Analyzing Sex Differences in the UK Biobank using Structural MRI

Motivation: Brain aging varies significantly between sexes, yet genetic contributions to these differences remain under-explored. Goal(s): Identify sex-specific genetic variants linked to accelerated brain aging using structural MRI data. Approach: This study proposes implementing Brain Age Gap Estimates (BrainAGE) with sex-stratified GWAS to uncover genetic associations in T1-weighted MRI data from the UK Biobank, complemented by PostGWAS analyses to explore biological pathways and gene expression. Results: Sex-stratified analyses revealed neurotransmitter and mitochondrial response to cellular stress genes linked to brain aging in females and immune-related genes in males. Shared genes suggest common neurostructural roles, advancing understanding of sex-specific genetic determinants in brain aging. Impact: This study highlights the importance of sex-stratified analysis in understanding the genetic associations with brain aging. Findings pave the way for future work on personalized treatments and preventative measures for neurodegeneration based on individual genetic profiles and sex-specific risks.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/1500
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Genetic Influences on Brain Aging: Analyzing Sex Differences in the UK Biobank using Structural MRI

M. Ethan MacDonald, Karen Ardila, Abdoljalil Addeh, Quan Long et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Genetic Associations and Epidemiology
article

Genetic Influences on Brain Aging: Analyzing Sex Differences in the UK Biobank using Structural MRI

M. Ethan MacDonald, Karen Ardila, Abdoljalil Addeh, Quan Long, Amanda V. Tyndall, Aashka Mohite, Cindy Barha
article en

Abstract

Motivation: Brain aging varies significantly between sexes, yet genetic contributions to these differences remain under-explored. Goal(s): Identify sex-specific genetic variants linked to accelerated brain aging using structural MRI data. Approach: This study proposes implementing Brain Age Gap Estimates (BrainAGE) with sex-stratified GWAS to uncover genetic associations in T1-weighted MRI data from the UK Biobank, complemented by PostGWAS analyses to explore biological pathways and gene expression. Results: Sex-stratified analyses revealed neurotransmitter and mitochondrial response to cellular stress genes linked to brain aging in females and immune-related genes in males. Shared genes suggest common neurostructural roles, advancing understanding of sex-specific genetic determinants in brain aging. Impact: This study highlights the importance of sex-stratified analysis in understanding the genetic associations with brain aging. Findings pave the way for future work on personalized treatments and preventative measures for neurodegeneration based on individual genetic profiles and sex-specific risks.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 73%
Genetic Associations and Epidemiology
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